The developing sum of information collected by measured self devices and social media hold extraordinary potential for applications in personalized medication. Though the primary incorporates health-related physiological signals, the last mentioned gives bits of knowledge into a user’s behavior. Be that as it may, the two sources of information have to a great extent been considered in segregation. We analyze open information from users who have chosen to put through their MyFitnessPal and Twitter accounts. We appear that a user’s eat less compliance victory, measured by means of their self-logged nourishment journals, can be anticipated utilizing highlights determined from social media: etymological, action, and social capital. We discover that clients with more positive influence and a bigger social network are more effective in succeeding in their dietary objectives.
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